A method for allocating resources is provided. A server acquires resource allocation weights corresponding to a plurality of first user accounts in a virtual space, and generates a first resource quantity corresponding to each of the first user accounts by dividing a target resource quantity corresponding to the plurality of first user accounts, and allocates the resources of the target resource quantity to the plurality of first user accounts based on the first resource quantity corresponding to each of the first user accounts. The first user accounts are configured to publish live-streaming data into the virtual space for co-hosting.

A method for allocating resources is provided. A server acquires resource allocation weights corresponding to a plurality of first user accounts in a virtual space, and generates a first resource quantity corresponding to each of the first user accounts by dividing a target resource quantity corresponding to the plurality of first user accounts, and allocates the resources of the target resource quantity to the plurality of first user accounts based on the first resource quantity corresponding to each of the first user accounts. The first user accounts are configured to publish live-streaming data into the virtual space for co-hosting.

The present disclosure provides user interface methods of and systems for displaying at least one available action overlaid on an image, comprising displaying an image; selecting at least one action and assigning a ranking weight thereto based on at least one of (1) image content, (2) current device location, (3) location at which the image was taken, (4) date of capturing the image; (5) time of capturing the image; and (6) a user preference signature representing prior actions chosen by a user and content preferences learned about the user; and ranking the at least one action based on its assigned ranking weight.

The present disclosure provides user interface methods of and systems for displaying at least one available action overlaid on an image, comprising displaying an image; selecting at least one action and assigning a ranking weight thereto based on at least one of (1) image content, (2) current device location, (3) location at which the image was taken, (4) date of capturing the image; (5) time of capturing the image; and (6) a user preference signature representing prior actions chosen by a user and content preferences learned about the user; and ranking the at least one action based on its assigned ranking weight.

Various arrangements for detecting items in home are presented. Imaging devices may capture images of a user's home. The images may be analyzed and compared against a user approved list of item definitions. Using the definitions, items, brands, trademarks, and the like may be identified in the images. The items identified in the images may be used to determine preferences of a user and provide targeted marketing content using the television receiver. In some cases, analysis of items in a home may be used to determine the effectiveness of marketing content by determining causality or correlations between marketing content viewed by a user and items in the home.

Methods and apparatus to facilitate matching of names for same media content are disclosed. Example methods include analyzing first data associated with first media content and, when a program name/identifier and/or episode name/identifier is not identified in the first data, supplementing the data with second data to form third data and processing the third data with respect to fourth data associated with second media content and calculating a composite match score including a program match score and an episode match score based on processing the third data with respect to the fourth data. When the first media content is determined to match the second media content based on the processing of the third data with respect to the fourth data and a comparison of the composite match score to a threshold is satisfied, a normalized media name is generated for the first media content and the second media content.

Systems and methods are disclosed herein for detecting a first reaction by a user when consuming a media asset at a first time, where a first magnitude of the first reaction exceeds a first threshold. The systems and methods may determine whether a second reaction by the user occurred when the user consumed the media asset at a second time that is prior to the first time, where a second magnitude of the second reaction exceeds a second threshold, and may recommend the second media asset to the user.

A system for a video sharing service for inmates in correctional facilities is disclosed. The system includes an inmate device of an inmate, a database storing inmate profiles, and a video sharing server configured to receive a registration request from the inmate device for registration of an inmate for the video sharing service, the registration request including user credentials of the inmate, retrieve an inmate profile of the inmate from the database, authenticate the inmate based on the user credentials and the inmate profile, create an account for the inmate for the video sharing service in response to authentication of the inmate, receive an upload request to upload a video from the inmate device, analyze the video for restricted content, and assign a rating to the video based on the analysis.

Aspects of the subject disclosure may include, for example, a system and method for selecting media content for a group of persons located at a venue. The system and method identify a plurality of viewers in a vicinity of a venue that has one or more display devices from location data and extracts a content viewing preference of each viewer from their profile data. The process includes aggregating the content viewing preference of each of the plurality of viewers to generate an aggregated content profile. Based on the aggregated content profile, a list of content is generated. Next, a first group of viewers approaching a viewing range of a display device are sensed by imaging data. Any conflicts between content viewing preferences of the first group of viewers are detected and resolved based on weighting the viewing preferences of the group. Other embodiments are disclosed.

The present disclosure in some embodiments provides a system for and a method of providing a live video in real-time by transmitting the live video and patches which are a fraction of a frame of the live video by allocating and using bandwidth for transmitting the live video and bandwidth for transmitting the patches, respectively, and by subjecting, based on the patches, a deep neural network-based super-resolution model to online learning and thereby super-resolution processing the live video into a super-resolution live video.